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Authors: Jieyu Zhan 1 ; Xudong Luo 1 ; Wenjun Ma 2 and Youzhi Zhang 1

Affiliations: 1 Sun Yat-sen University, China ; 2 Queen's University Belfast, United Kingdom

ISBN: 978-989-758-015-4

Keyword(s): Game Theory, Fuzzy Logic, Bargaining Game, Preference, Agent.

Related Ontology Subjects/Areas/Topics: Agents ; Artificial Intelligence ; Computational Intelligence ; Fuzzy Systems ; Negotiation and Interaction Protocols ; Soft Computing

Abstract: Nowadays, decisions in estate investment are made by a group of investors with different demands and then how to find an agreement among them become an essential issue. Thus, this paper introduces a fuzzy logic based bargaining model to solve such problems. Moreover, we also do lots of simulation experiments to reveal how bargainers’ risk attitude, patience and regret degree influence the outcome of a game, and benchmark our model with the previous one. From these experiments, we can conclude that our model can reflect the human intuitions well, has a higher success rate, and bargains more efficiently than the previous one.

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Paper citation in several formats:
Zhan, J.; Luo, X.; Ma, W. and Zhang, Y. (2014). A Multi-demand Adaptive Bargaining based on Fuzzy Logic.In Proceedings of the 6th International Conference on Agents and Artificial Intelligence - Volume 1: ICAART, ISBN 978-989-758-015-4, pages 577-585. DOI: 10.5220/0004907005770585

@conference{icaart14,
author={Jieyu Zhan. and Xudong Luo. and Wenjun Ma. and Youzhi Zhang.},
title={A Multi-demand Adaptive Bargaining based on Fuzzy Logic},
booktitle={Proceedings of the 6th International Conference on Agents and Artificial Intelligence - Volume 1: ICAART,},
year={2014},
pages={577-585},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0004907005770585},
isbn={978-989-758-015-4},
}

TY - CONF

JO - Proceedings of the 6th International Conference on Agents and Artificial Intelligence - Volume 1: ICAART,
TI - A Multi-demand Adaptive Bargaining based on Fuzzy Logic
SN - 978-989-758-015-4
AU - Zhan, J.
AU - Luo, X.
AU - Ma, W.
AU - Zhang, Y.
PY - 2014
SP - 577
EP - 585
DO - 10.5220/0004907005770585

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